Google Cloud / Databricks Forward Deployed Engineer in Wealth and Asset Management
Tasks
- Build AI prototypes
- Build generative AI applications
- Deploy production ready agents
- Develop agentic workflows
- Evaluate model performance
- Implement retrieval-augmented generation
- Integrate AI products with APIs
- Integrate AI products with databases
- Optimize model latency
- Troubleshoot AI integration issues
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Flexible spending account
- Gym reimbursement
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
APIs | Agent systems | BigQuery | Databricks | Databricks Lakehouse | Delta Lake | Gemini Enterprise | Google Cloud | LLM orchestration | Langchain | Langgraph | MCP | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Vector Database | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Solutions Engineer
Regions
Countries
States
Cities
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